Artificial Intelligence Architect - GEN AI /Agentic AI

12 - 18 years

50 - 60 Lacs

hyderabad bengaluru mumbai (all areas)

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Datamatics is a CMMI Level 5 company. Datamatics, a global Digital Solutions, Technology, and BPM Company, provides intelligent solutions for data-driven businesses to increase productivity and enhance the customer experience. With a completely digital approach

Job Role - AI Architect - Gen AI , Agentic AI

location - Mumbai, Bangalore, Hyderabad

Work Mode - WFO

Experience -10+ Years

The AI Architect will lead design and delivery of AI solutions, with a strong focus on Generative AI, large language models (LLMs), AI agents, and core machine learning. The role combines architecture, hands-on prototyping, and close collaboration with business and engineering teams to turn AI opportunities into scalable, production-grade solutions.

Key responsibilities

  • Define AI/ML architecture and standards, and guide teams on best practices across the AI portfolio.
  • Design end-to-end AI solutions, including agentic workflows, RAG systems, and ML models, that integrate with existing enterprise platforms.
  • Lead technical design reviews, PoCs, and reference implementations for AI agents, LLM use cases, and MLOps pipelines.
  • Collaborate with product, data, and engineering teams to translate business requirements into AI solution designs and roadmaps.
  • Support presales/RFPs with solution architectures, effort estimates, and implementation plans when required.
  • Mentor engineers and data scientists on AI architecture, coding standards, and operationalization of models.

Core skills

  • AI agents and agentic workflows (tool use, orchestration, and integration with APIs and enterprise systems).
  • LLM and RAG architecture, vector databases, and evaluation of model quality and reliability.
  • Cloud-native design, microservices, and containerization (e.g., Docker/Kubernetes) for AI workloads.
  • Strong Python skills and familiarity with common AI/ML libraries and data engineering tools.

enterprise-scale AI solutions

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